Low rate DDoS mitigation using real-time multi threshold traffic monitoring system

Baskar, M.; Ramkumar, J.; Karthikeyan, C.; Anbarasu, V.; Balaji, A.; Arulananth, T. S.

doi:10.1007/s12652-020-02744-y

Cited by 35 publications

(18 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Suppose if an attacker disables the ECG (electrocardiogram) sensor of a heart disease patient; this would lead the patient into critical situation or even death [38]. The WBAN literature has suggested various ways to cope up with DoS attack [43][44][45][46][47][48]. Localization service finds the location of biosensors in a dynamic network.…”

Section: Network Communication Security Requirementsmentioning

confidence: 99%

Challenges and Developments in Secure Routing Protocols for Healthcare in WBAN: A Comparative Analysis

Singla

Kaur

Koundal

et al. 2021

Wireless Pers Commun

View full text Add to dashboard Cite

Section: Network Communication Security Requirementsmentioning

confidence: 99%

Challenges and Developments in Secure Routing Protocols for Healthcare in WBAN: A Comparative Analysis

Singla

Kaur

Koundal

et al. 2021

Wireless Pers Commun

View full text Add to dashboard Cite

“…To manage the state of uneven system, [15] assumed that the lopsided networks eigenvectors values were not symmetrical, so the conditions were somewhat extraordinary and conceptualized alpha centrality approach. Google's Page Rank [16], among others, is an instance of alpha centrality.…”

Section: Existing Centrality Measuresmentioning

confidence: 99%

An Intelligent Centrality Measures for Influential Node Detection in COVID-19 Environment

Jeyasudha

Usha

2021

Wireless Pers Commun

View full text Add to dashboard Cite

With an advent of social networks, spamming has posted the most important serious issues among the users. These are termed as influential users who spread the spam messages in the community which has created the social and psychological impact on the users. Hence the identification of such influential nodes has become the most important research challenge. The paper proposes with a method to (1) detect a community using community algorithms with the Laplacian Transition Matrix that is the popular hashtag (2) to find the Influential nodes or users in the Community using Intelligent centrality measure's (3) The implementation of machine learning algorithm to classify the intensity of users.The extensive experimentations has been carried out using the COVID-19 datasets with the different machine learning algorithms. The methodologies SVM and PCA provide the accuracy of 98.6 than the linear regression for using the new centrality measures and the other scores like NMI, RMS, are found for the methods. As a result finding out the Influential nodes will help us find the Spammy and genuine accounts easily.

show abstract

“…e total simulation time is 60 seconds. LDDoS attacks usually use the UDP protocol with constant bit rate (CBR) traffic to take a lot of bandwidth, so all attackers will generate UDP/CBR packets and start the attack after 2 s. e following three parameter values are used to describe the characteristics of LDDoS attacks [39]:…”

Section: Experimental Designmentioning

confidence: 99%

Can Multipath TCP Be Robust to Cyber Attacks? A Measuring Study of MPTCP with Active Queue Management Algorithms

Cao

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

With the development of social networks, more and more mobile social network devices have multiple interfaces. Multipath TCP (MPTCP), as an emerging transmission protocol, can fit multiple link bandwidths to improve data transmission performance and improve user experience quality. At the same time, due to the large-scale deployment and application of emerging technologies such as the Internet of Things and cloud computing, cyber attacks against MPTCP have gradually increased. More and more network security research studies point out that low-rate distributed denial of service (LDDoS) attacks are relatively popular and difficult to detect and are recognized as one of the most severe threats to network services. This article introduces six classic queue management algorithms: DropTail, RED, FRED, REM, BLUE, and FQ. In a multihomed network environment, we perform the performance evaluation of MPTCP under LDDoS attacks in terms of throughput, delay, and packet loss rate when using the six algorithms, respectively, by simulations. The results show that in an MPTCP-enabled multihomed network, different queue management algorithms have different throughput, delay, and packet loss rate performance when subjected to LDDoS attacks. Considering these three performance indicators comprehensively, the FRED algorithm has better performance. By adopting an effective active queue management (AQM) algorithm, the MPTCP transmission system can enhance its robustness capability, thus improving transmission performance. We suggest that when designing and improving the queue management algorithm, the antiattack performance of the algorithm should be considered: (1) it can adjust the traffic speed by optimizing the congestion control mechanism; (2) the fairness of different types of data streams sharing bandwidth is taken into consideration; and (3) it has the ability to adjust the parameters of the queue management algorithm in a timely and accurate manner.

show abstract

Low rate DDoS mitigation using real-time multi threshold traffic monitoring system

Cited by 35 publications

References 11 publications

Challenges and Developments in Secure Routing Protocols for Healthcare in WBAN: A Comparative Analysis

Challenges and Developments in Secure Routing Protocols for Healthcare in WBAN: A Comparative Analysis

An Intelligent Centrality Measures for Influential Node Detection in COVID-19 Environment

Can Multipath TCP Be Robust to Cyber Attacks? A Measuring Study of MPTCP with Active Queue Management Algorithms

Contact Info

Product

Resources

About